1.

A General Online Algorithm for Optimizing Complex Performance Metrics / Wojciech Kotłowski (WIiT), Marek Wydmuch (WIiT), Erik Schultheis, Rohit Babbar, Krzysztof Dembczyński (WIiT) // W: Proceedings of the 41st International Conference on Machine Learning, 2024 - s. 25396-25425

Rozdział w monografii naukowej / referat 200

2.

Consistent algorithms for multi-label classification with macro-at-k metrics / Erik Schultheis, Wojciech Kotłowski (WIiT), Marek Wydmuch (WIiT), Rohit Babbar, Krzysztof Dembczyński (WIiT), Strom Borman // W: The Twelfth International Conference on Learning Representations ICLR 2024, 2024

Rozdział w monografii naukowej / referat 200

3.

Generalized test utilities for long-tail performance in extreme multi-label classification / Erik Schultheis, Marek Wydmuch (WIiT), Wojciech Kotłowski (WIiT), Rohit Babbar, Krzysztof Dembczyński (WIiT) // W: Advances in Neural Information Processing Systems 36 : Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10-16, 2023 / red. A. Oh: Curran Associates, Inc., 2023

Rozdział w monografii naukowej / referat 5 200

4.

Optimization of Future Multifilter Surveys Toward Asteroid Characterization / Hanna Klimczak, Emil Wilawer, Tomasz Kwiatkowski, Agnieszka Kryszczyńska, Dagmara Oszkiewicz, Wojciech Kotłowski (WIiT), Francesca DeMeo // Astronomical Journal - 2023, vol. 166, no. 6, s. 230-1-230-9

Artykuł naukowy 140 5,1

5.

Comparison of machine learning algorithms used to classify the asteroids observed by all-sky surveys / Hanna Klimczak (WIiT), Dagmara Oszkiewicz, Benoit Carry, Antti Penttilä, Wojciech Kotłowski (WIiT), Agnieszka Kryszczyńska, Emil Wilawer // Astronomy and Astrophysics - 2022, vol. 667, s. A10-1-A10-15

Artykuł naukowy 140 6,5

6.

A case where a spindly two-layer linear network decisively outperforms any neural network with a fully connected input layer / Manfred K. Warmuth, Wojciech Kotłowski (WIiT), Ehsan Amid // W: Proceedings of the 32nd International Conference on Algorithmic Learning Theory / red. Vitaly Feldman, Katrina Ligett, Sivan Sabato: JMLR, 2021 - s. 1214-1236

Rozdział w monografii naukowej / referat 5 70

7.

Predicting Asteroid Types: Importance of Individual and Combined Features / Hanna Klimczak (WIiT), Wojciech Kotłowski (WIiT), Dagmara Oszkiewicz, Francesca DeMeo, Agnieszka Kryszczyńska, Emil Wilawer, Benoit Carry // Frontiers in Astronomy and Space Sciences - 2021, vol. 8, s. 767885-1-767885-15

Artykuł naukowy 20

8.

Robust Online Convex Optimization in the Presence of Outliers / Tim van Erven, Sarah Sachs, Wouter Koolen, Wojciech Kotłowski (WIiT) // W: Proceedings of Thirty Fourth Conference on Learning Theory / red. Mikhail Belkin, Samory Kpotufe: JMLR, 2021 - s. 4174-4194

Rozdział w monografii naukowej / referat 5 200

9.

Learning to crawl / Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotłowski (WIiT), Dávid Pál, Balázs Szörényi // W: AAAI -20/IAAI-20/EAAI-20 Proceedings : Thirty-Fourth AAAI Conference on Artificial Intelligence; Thirty-Second Conference on Innovative Applications of Artificial Intelligence; The Tenth Symposium on Educational Advances in Artificial Intelligence - Palo Alto, California, USA : AAAI Press, 2020 - s. 6046-6053

Rozdział w monografii naukowej / referat 5 200

10.

Open Problem: Fast and Optimal Online Portfolio Selection / Tim van Erven, Dirk van der Hoeven, Wojciech Kotłowski (WIiT), Wouter M. Koolen // W: Proceedings of Thirty Third Conference on Learning Theory, 9-12 July 2020 / red. Jacob Abernethy, Shivani Agarwal: PMLR, 2020 - s. 3864-3869

Rozdział w monografii naukowej / referat 5 200

11.

Scale-invariant unconstrained online learning / Wojciech Kotłowski (WIiT) // Theoretical Computer Science - 2020, vol. 808, s. 139-158

Artykuł naukowy 100 0,827

12.

Adaptive scale-invariant online algorithms for learning linear models / Michał Kempka (WI), Wojciech Kotłowski (WI), Manfred K. Warmuth // W: Proceedings of the 36th International Conference on Machine Learning, 9-15 June 2019, Long Beach, California, USA / red. Kamalika Chaudhuri, Ruslan Salakhutdinov: PMLR, 2019 - s. 3321-3330

Rozdział w monografii naukowej / referat 5 200

13.

Bandit Principal Component Analysis / Wojciech Kotłowski (WI), Gergely Neu // W: Proceedings of the Thirty-Second Conference on Learning Theory, 25-28 June 2019, Phoenix, USA / red. Alina Beygelzimer, Daniel Hsu: PMLR, 2019 - s. 1994-2024

Rozdział w monografii naukowej / referat 5 200

14.

On minimaxity of follow the leader strategy in the stochastic setting / Wojciech Kotłowski (WI) // Theoretical Computer Science - 2018, vol. 742, s. 50-65

Artykuł naukowy 20 0,718

15.

The Many Faces of Exponential Weights in Online Learning / Dirk van der Hoeven, Tim van Erven, Wojciech Kotłowski (WI) // W: Proceedings of the 31st Conference on Learning Theory COLT 2018, Stockholm, Sweden, 6-9 July 2018: PMLR, 2018 - s. 2067-2092

Rozdział w monografii naukowej / referat 5 200

16.

Consistency Analysis for Binary Classification Revisited / Krzysztof Dembczyński (WI), Wojciech Kotłowski (WI), Oluwasanmi Koyejo, Nagarajan Natarajan // W: Proceedings of the 34th International Conference on Machine Learning: PMLR, 2017 - s. 961-969

Rozdział w monografii naukowej / referat 5 200

17.

Random Permutation Online Isotonic Regression / Wojciech Kotłowski (WI), Wouter M. Koolen, Alan Malek // W: Advances in Neural Information Processing Systems 30 : 31st Annual Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, California, USA, 4-9 December 2017 / red. Ulrike von Luxburg: Curran Associates, Inc., 2017 - s. 4181-4189

Rozdział w monografii naukowej / referat 5 200

18.

Scale-invariant unconstrained online learning / Wojciech Kotłowski (WI) // W: Proceedings of the 28th International Conference on Algorithmic Learning Theory / red. Steve Hanneke, Lev Reyzin: PMLR, 2017 - s. 412-433

Rozdział w monografii naukowej / referat 5 70

19.

Surrogate regret bounds for generalized classification performance metrics / Wojciech Kotłowski (WI), Krzysztof Dembczyński (WI) // Machine Learning - 2017, vol. 106, no. 4, s. 549-572

Artykuł naukowy 35 1,855

20.

Consistency of Probabilistic Classifier Trees / Krzysztof Dembczyński (WI), Wojciech Kotłowski (WI), Willem Waegeman, Robert Busa-Fekete, Eyke Hüllermeier // W: Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016 : Proceedings, Part II / red. Paolo Frasconi - Cham, Switzerland : Springer International Publishing, 2016 - s. 511-526

Referat

21.

Online Isotonic Regression / Wojciech Kotłowski (WI), Wouter M. Koolen, Alan Malek // JMLR: Workshop and Conference Proceedings - 2016, vol. 49, s. 1-25

Artykuł naukowy / referat 50

22.

Online PCA with Optimal Regret / Jiazhong Nie, Wojciech Kotłowski (WI), Manfred K. Warmuth // Journal of Machine Learning Research - 2016, vol. 17, s. 1-49

Artykuł naukowy 50 5

23.

On Minimaxity of Follow the Leader Strategy in the Stochastic Setting / Wojciech Kotłowski (WI) // W: Algorithmic Learning Theory : 27th International Conference, ALT 2016, Bari, Italy October 19-21, 2016 : Proceedings / red. Ronald Ortner - Cham, Switzerland : Springer, 2016 - s. 261-275

Referat

24.

Consistent optimization of AMS by logistic loss minimization / Wojciech Kotłowski (WI) // JMLR: Workshop and Conference Proceedings - 2015, vol. 42, s. 99-108

Artykuł naukowy / referat 50

25.

Minimax strategy for prediction with expert advice under stochastic assumptions / Wojciech Kotłowski (WI) // W: Learning Faster from Easy Data II : NIPS 2015 Workshop, Montreal, Canada, December 11, 2015, 2015 - s. 1-9

Referat

26.

Surrogate regret bounds for generalized classification performance metrics / Wojciech Kotłowski (WI), Krzysztof Dembczyński (WI) // JMLR: Workshop and Conference Proceedings - 2015, vol. 45, s. 301-316

Artykuł naukowy / referat 50

27.

Follow the Leader with Dropout Perturbations / Tim van Erven, Wojciech Kotłowski (WI), Manfred K. Warmuth // JMLR: Workshop and Conference Proceedings - 2014, vol. 35, s. 1-26

Artykuł naukowy / referat 50

28.

Kernelization of matrix updates, when and how? / Manfred K. Warmuth, Wojciech Kotłowski (WI), Shuisheng Zhou // Theoretical Computer Science - 2014, vol. 558, 13 November 2014, s. 159-178

Artykuł naukowy 20 0,657

29.

Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families / Peter Barlett, Peter Grünwald, Peter Harremoës, Fares Hedayati, Wojciech Kotłowski (WI) // JMLR: Workshop and Conference Proceedings - 2013, vol. 30, s. 639-661

Artykuł naukowy / referat 50

30.

Matrix factorization for travel time estimation in large traffic network / Krzysztof Dembczyński (WI), Wojciech Kotłowski (WI), Przemysław Gaweł, Adam Szarecki, Andrzej Jaszkiewicz (WI) // W: Artificial intelligence and soft computing. Part II: 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013 : proceedings / red. Leszek Rutkowski - Berlin, Germany Heidelberg, Germany : Springer, 2013 - s. 500-510

Referat

31.

Online PCA with Optimal Regrets / Jiazhong Nie, Wojciech Kotłowski (WI), Manfred K. Warmuth // W: Algorithmic Learning Theory : 24th International Conference, ALT 2013, Singapore, October 6-9, 2013 : Proceedings / red. Sanjay Jain, Rémi Munos, Frank Stephan, Thomas Zeugmann - Berlin, Germany Heidelberg, Germany : Springer Berlin Heidelberg, 2013 - s. 98-112

Referat

32.

Optimizing the F-measure in multi-label classification : plug-in rule approach versus structured loss minimization / Krzysztof Dembczyński (WI), Arkadiusz Jachnik (WI), Wojciech Kotłowski (WI), Willem Waegeman, Eyke Hüllermeier // JMLR: Workshop and Conference Proceedings - 2013, vol. 28 (3), s. 1130-1138

Artykuł naukowy / referat 50

33.

Real-time travel time prediction models in routing for car navigation applications / P. Gaweł, Krzysztof Dembczyński (WI), Wojciech Kotłowski (WI), Andrzej Jaszkiewicz (WI) // Archives of Transport System Telematics - 2013, vol. 6, no. 4, s. 3-7

Artykuł naukowy 11

34.

Community traffic: a technology for the next generation car navigation / Krzysztof Dembczyński, P. Gaweł, Andrzej Jaszkiewicz, Wojciech Kotłowski, M. Kubiak, Robert Susmaga, Przemysław Wesołek, Adam Wojciechowski, Piotr Zielniewicz // Control and Cybernetics - 2012, vol. 41, no. 4, s. 867-883

Artykuł naukowy

35.

Effective prediction of web user behaviour with user-level models / Krzysztof Dembczyński, Wojciech Kotłowski, M. Sydow // Fundamenta Informaticae - 2008, iss. 2-3, s. 189-206

Artykuł naukowy 0,715

36.

Ensemble of decision rules for ordinal classification with monotonicity constraints / Krzysztof Dembczyński (WI), Wojciech Kotłowski, Roman Słowiński // W: Rough sets and knowledge technology ; Third International Conference, RSKT 2008, Chengdu, China, May 2008 Proceedings / red. Guoyin Wang, Tianrui Li, Jerzy W. Grzymala-Busse, Duoqian Miao, Andrzej Skowron, Yiyu Yao - Berlin, Germany Heidelberg, Germany : Springer, 2008 - s. 260-267

Referat

37.

Solving regression by learning an ensemble of decision rules / Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński // W: Artificial Intelligence and Soft Computing - ICAISC 2008 : 9th International Conference, Zakopane, Poland, June 2008, Proceedings / red. Leszek Rutkowski, Ryszard Tadeusiewicz, Lofti A. Zadeh, Jacek M. Żurada - Berlin, Germany Heidelberg, Germany : Springer Science & Business Media, 2008 - s. 533-544

Referat

38.

Stochastic dominance-based rough set model for ordinal classification / Wojciech Kotłowski, Krzysztof Dembczyński, S. Greco, Roman Słowiński // Information Sciences - 2008, vol. 178, iss. 21, s. 4019-4037

Artykuł naukowy 3,095

39.

Stochastic dominance-based rough set model for ordinal classification / Wojciech Kotłowski, Krzysztof Dembczyński, S. Greco, Roman Słowiński // W: Developments in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics. Vol. 1. Foundations / red. Krassimir Todorov Atanassov - Warszawa, Polska : Academic Publishing House Exit, 2008 - s. 191-227

Referat

40.

Statistical Model for Rough Set Approach to Multicriteria Classification / Krzysztof Dembczyński, Salvatore Greco, Wojciech Kotłowski, Roman Słowiński // W: Knowledge Discovery in Databases: PKDD 2007. 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007. Proceedings / red. Joost N. Kok, Jacek Koronacki, Ramon Lopez De Mantaras, Stan Matwin, Dunja Mladenič, Andrzej Skowron - Berlin - Heidelberg, Germany : Springer-Verlag, 2007 - s. 164-175

Referat

41.

Additive preference model with piecewise linear components resulting from dominance-based rough set approximations / Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński // W: Artificial Intelligence and Soft Computing – ICAISC 2006 : 8th International Conference, Zakopane, Poland, June 25-29, 2006. Proceedings / red. Leszek Rutkowski, Ryszard Tadeusiewicz, Lofti A. Zadeh, Jacek M. Żurada - Berlin - Heidelberg, Germany : Springer-Verlag, 2006 - s. 499-500

Referat

42.

Ensembles of decision rules / Jerzy Błaszczyński, Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński, Marcin Szeląg // Foundations of Computing and Decision Sciences - 2006, vol. 31, no. 3-4, s. 221-232

Artykuł naukowy

43.

Ensembles of decision rules for solving binary classification problems in the presence of missing values / Jerzy Błaszczyński, Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński, Marcin Szeląg // W: Rough Sets and Current Trends in Computing : 5th International Conference, RSCTC 2006 Kobe, Japan, November 6-8, 2006 Proceedings / red. Salvatore Greco, Yutaka Hata, Shoji Hirano, Masahiro Inuiguchi, Sadaaki Miyamoto, Hung Son Nguyen, Roman Słowiński - Berlin - Heidelberg, Germany : Springer, 2006 - s. 224-234

Referat

44.

Mining direct marketing data by ensembles of weak learners and rough set methods / Jerzy Błaszczyński (WI), Krzysztof Dembczyński, Wojciech Kotłowski, Mariusz Pawłowski // W: Data Warehousing and Knowledge Discovery : 8th International Conference, DaWaK 2006, Krakow, Poland, September 4-8, 2006 : Proceedings / red. A Min Tjoa, Juan Trujillo - Berlin, Germany Heidelberg, Germany : Springer-Verlag Berlin Heidelberg, 2006 - s. 218-227

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